Dataset Information

The CrowdHEALTH project and the Hollistic Health Records: Collective Wisdom Driving Public Health Policies.

ABSTRACT: Introduction:With the expansion of available Information and Communication Technology (ICT) services, a plethora of data sources provide structured and unstructured data used to detect certain health conditions or indicators of disease. Data is spread across various settings, stored and managed in different systems. Due to the lack of technology interoperability and the large amounts of health-related data, data exploitation has not reached its full potential yet. Aim:The aim of the CrowdHEALTH approach, is to introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants defining health status by using big data management mechanisms. Methods:HHRs are transformed into HHRs clusters capturing the clinical, social and human context with the aim to benefit from the collective knowledge. The presented approach integrates big data technologies, providing Data as a Service (DaaS) to healthcare professionals and policy makers towards a "health in all policies" approach. A toolkit, on top of the DaaS, providing mechanisms for causal and risk analysis, and for the compilation of predictions is developed. Results:CrowdHEALTH platform is based on three main pillars: Data & structures, Health analytics, and Policies. Conclusions:A holistic approach for capturing all health determinants in the proposed HHRs, while creating clusters of them to exploit collective knowledge with the aim of the provision of insight for different population segments according to different factors (e.g. location, occupation, medication status, emerging risks, etc) was presented. The aforementioned approach is under evaluation through different scenarios with heterogeneous data from multiple sources.

SUBMITTER: Kyriazis D

PROVIDER: S-EPMC7085312 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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The CrowdHEALTH project and the Hollistic Health Records: Collective Wisdom Driving Public Health Policies.

Kyriazis Dimosthenis D Autexier Serge S Boniface Michael M Engen Vegard V Jimenez-Peris Ricardo R Jordan Blanca B Jurak Gregor G Kiourtis Athanasios A Kosmidis Thanos T Lustrek Mitja M Maglogiannis Ilias I Mantas John J Martinez Antonio A Mavrogiorgou Argyro A Menychtas Andreas A Montandon Lydia L Nechifor Cosmin-Septimiu CS Nifakos Sokratis S Papageorgiou Alexandra A Patino-Martinez Marta M Patino-Martinez Marta M Perez Manuel M Plagianakos Vassilis V Stanimirovic Dalibor D Starc Gregor G Tomson Tanja T Torelli Francesco F Traver-Salcedo Vicente V Vassilacopoulos George G Magdalinou Andriana A Wajid Usman U

Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH 20191201 5

<h4>Introduction</h4>With the expansion of available Information and Communication Technology (ICT) services, a plethora of data sources provide structured and unstructured data used to detect certain health conditions or indicators of disease. Data is spread across various settings, stored and managed in different systems. Due to the lack of technology interoperability and the large amounts of health-related data, data exploitation has not reached its full potential yet.<h4>Aim</h4>The aim of t ...[more]

PMID: 32210506

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Project description:BACKGROUND:The problem of childhood undernutrition in low-income countries persists despite long-standing efforts by local governmental and international development agencies. In order to address this problem, the Peruvian Ministry of Health has focused on improving access to primary healthcare and providing maternal and child health monitoring and education. Current maternal-child health policies in Peru introduce recommendations that are in some respect distinct from those of Indigenous highland communities. This paper analyses the similarities and differences between public health and mothers' infant feeding recommendations. Furthermore, it analyses persistence and change in those recommendations among women who were mothers before and after the introduction of current public health policies. METHODS:Semi-structured interviews were conducted with 18 older mothers, 15 currently breastfeeding mothers, and 15 public health staff in highland rural communities of Peru. During data analysis, thematic codes and text passages were used in an iterative analytic process to document emerging themes. RESULTS:The results highlight the existence of a traditional corpus of beliefs surrounding infant feeding and care that is consistent with Andean ethnomedical beliefs. This is illustrated by mother's accounts referring to the importance of maintaining a dietary balance of fluids and semi-fluids and of maintaining harmony with the elements in the natural environment. Mothers also incorporate aspects of public health recommendations that they find useful including initiating breastfeeding immediately after birth and exclusive breastfeeding up until 6 months. There are also tensions between the two systems including differences in the conceptualization of breastfeeding and infant food, the imposition of public health care services by coercive means, and negative stereotyping of rural Andean diets and mothers. CONCLUSIONS:Identifying similarities and differences between distinct systems may provide useful input for effective intercultural health policies. Sources of tension should be carefully assessed with the aim of improving public health policies. Such efforts should apply a process of cultural humility engaging health care professionals in exchange and conversations with patients and communities acknowledging the assumptions and beliefs that are embedded in their own understanding. This process should also recognize and value the knowledge and practices of Andean mothers and their role as primary caretakers.

Project description:There is an urgent need to monitor the mental health of large populations, especially during crises such as the COVID-19 pandemic, to timely identify the most at-risk subgroups and to design targeted prevention campaigns. We therefore developed and validated surveillance indicators related to suicidality: the monthly number of hospitalisations caused by suicide attempts and the prevalence among them of five known risks factors. They were automatically computed analysing the electronic health records of fifteen university hospitals of the Paris area, France, using natural language processing algorithms based on artificial intelligence. We evaluated the relevance of these indicators conducting a retrospective cohort study. Considering 2,911,920 records contained in a common data warehouse, we tested for changes after the pandemic outbreak in the slope of the monthly number of suicide attempts by conducting an interrupted time-series analysis. We segmented the assessment time in two sub-periods: before (August 1, 2017, to February 29, 2020) and during (March 1, 2020, to June 31, 2022) the COVID-19 pandemic. We detected 14,023 hospitalisations caused by suicide attempts. Their monthly number accelerated after the COVID-19 outbreak with an estimated trend variation reaching 3.7 (95%CI 2.1-5.3), mainly driven by an increase among girls aged 8-17 (trend variation 1.8, 95%CI 1.2-2.5). After the pandemic outbreak, acts of domestic, physical and sexual violence were more often reported (prevalence ratios: 1.3, 95%CI 1.16-1.48; 1.3, 95%CI 1.10-1.64 and 1.7, 95%CI 1.48-1.98), fewer patients died (p = 0.007) and stays were shorter (p < 0.001). Our study demonstrates that textual clinical data collected in multiple hospitals can be jointly analysed to compute timely indicators describing mental health conditions of populations. Our findings also highlight the need to better take into account the violence imposed on women, especially at early ages and in the aftermath of the COVID-19 pandemic.

Dataset Information

The CrowdHEALTH project and the Hollistic Health Records: Collective Wisdom Driving Public Health Policies.

Publications

The CrowdHEALTH project and the Hollistic Health Records: Collective Wisdom Driving Public Health Policies.

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